Add YOLOv8 object detection support

[RizwanMunawar]

• Added YOLOv8 support for inference.
• Updated the readme.
• Updated the license

[Copilot]

Pull Request Overview

This PR adds support for Ultralytics YOLOv8 models to the YOLOv7 object tracking codebase and updates the license from GPL v3 to AGPL v3.

• YOLOv8 detection capability added with automatic model type identification
• Download utility enhanced to support YOLOv8 weight files
• License changed from GNU GPL v3 to GNU AGPL v3

Reviewed Changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
utils/torch_utils.py	Modified select_device to accept dynamic model name parameter instead of hardcoded "YOLOv7"
utils/download.py	Added YOLOv8 weights URL and conditional URL selection based on filename
detect.py	Added model type detection logic, YOLOv8 inference path using ultralytics library, and fixed download call to pass filename parameter
README.md	Updated documentation to announce YOLOv8 support and provide usage example
LICENSE	Changed from GNU GPL v3 to GNU AGPL v3

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 100.00%. Comparing base (030ecd7) to head (692f90a).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

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  Coverage   100.00%   100.00%           
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  Files            1         1           
  Lines           14        14           
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  Hits            14        14           

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